Master’s in Product, Regulation & Business Engineering
Online master's programme of 1,900 hours in product, regulation and business engineering for automated driving: 12 modules covering product management, the international regulatory framework, safety as a business requirement, business models, economics, technology strategy, market, liability and scaling, with an assigned technical tutor.
Master’s in Product, Regulation & Business Engineering — studying from Ireland
Ireland hosts research and development teams of several global technology and automotive suppliers, with particular strength in software, embedded systems and data engineering for connected mobility. Universities and research centres such as the Insight Research Ireland Centre for Data Analytics and the ADAPT Centre contribute work relevant to perception, machine learning and vehicle software. Engineers in this area develop software architectures, validate ADAS functions and address cybersecurity and over-the-air update requirements. Standards and safety expectations are shaped by European type-approval frameworks and international functional safety and automotive software standards.
Fees for Ireland: €8,920 (Euro), with instalments and employer sponsorship available.
Relevant bodies in Ireland
Typical roles
Questions from Ireland
Is there a recognised Irish body that governs autonomous and ADAS engineering credentials?
There is no separate statutory credential for autonomous or ADAS engineering in Ireland. Engineers Ireland is the main professional body for engineers and sets chartership standards. Road traffic and vehicle safety are overseen by bodies such as the Road Safety Authority. SEIUM's qualifications are private and not accredited by any national body, so their standing rests with employers or the relevant body.
Do Irish employers in software-defined vehicles and ADAS value this type of study?
Ireland has a notable software and technology sector, and some firms work on vehicle software, sensing and connectivity. Employers generally look for demonstrable software skills, project work and experience. A private online qualification may add to a profile, but its value is for each employer to determine. Make sure your portfolio shows what you can actually build.
Is this workable part-time, and do I need to be fluent in English?
Yes, the programme is online, so you can study from anywhere in Ireland without travel, and no student visa is needed. You do need strong English for technical material and assessments. Workload varies by programme: 1,900 hours for a master's, 800 for a postgraduate diplomas and 300 for specialist courses. An assigned technical tutor supports you, fees can be paid in instalments, and employer sponsorship may be available.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Manage automated driving products.
Interpret the international regulatory framework.
Integrate safety as a business requirement.
Design business models for autonomy.
Evaluate the economics of autonomous driving.
Analyse the market and competition.
Develop a product and business project.
Who it's for
- ADAS product managers.
- Autonomous driving strategy managers.
- Business analysts in the automotive sector.
- Regulatory specialists.
- Mobility consultants.
- Business development directors.
- Engineering or science graduates seeking to enter the automotive sector.
What you'll work with
- Regulation (EU) 2019/2144 (General Safety Regulation for vehicles)
- Implementing Regulation (EU) 2022/1426 (type approval of automated driving systems)
- UN ECE R157 (Automated Lane Keeping Systems)
- ISO 26262 (road vehicle functional safety)
- ISO 21448 (SOTIF — safety of the intended functionality)
- ISO/SAE 21434 (road vehicle cybersecurity engineering)
- Directive (EU) 2024/2853 (liability for defective products)
- SAE J3016 (levels of driving automation)
- Microsoft Excel
- Power BI
- Jira Product Discovery
- Miro
- Python
12 modules · 1900 h
1.1ADAS and autonomous driving value chain1.2From series-production ADAS to the robotaxi1.3Strategies of manufacturers and tech companies1.4Product positioning by level1.5Commercial success factors1.6Customer perception and willingness to pay1.7Software product life cycle1.8Supplier ecosystem1.9Market trends to 20351.10Case study: a manufacturer's product strategy
2.1Discovering customer needs2.2Defining functions and requirements2.3Product roadmap2.4Prioritisation with the RICE and Kano frameworks2.5ODD specification as a product decision2.6Managing variants and markets2.7Product metrics2.8Stakeholder management2.9Feature launch2.10Lab: roadmap for an L2+ system
3.1The Geneva Agreements and the WP.29 Forum3.2UNECE ADAS Regulations3.3European General Safety Regulation3.4European regulation of automated systems3.5Federal and state regulation in the US3.6Regulation in China and Japan3.7Data and AI regulation3.8Authorisation procedures3.9Expected evolution of the framework3.10Practical exercise: regulatory map by market
4.1Functional safety, SOTIF and cybersecurity4.2Cost of safety in the product4.3Safety arguments and communication4.4Product liability4.5Incident and recall management4.6Consumer assessment programmes4.7Safety and brand reputation4.8Insurance and risk4.9Safety as a differentiator4.10Workshop: impact analysis of a recall
5.1Selling in-vehicle features5.2Subscriptions and features on demand5.3Robotaxi and mobility as a service5.4Autonomy for logistics5.5Software licensing to manufacturers5.6Data as an asset5.7Partnerships and joint ventures5.8Unit economics of services5.9Business model risks5.10Lab: ADAS subscription model
6.1Cost of autonomy hardware6.2Development and validation costs6.3Cost of maps and data6.4Fleet operating costs6.5Cost learning curves6.6Break-even point of services6.7Funding in the sector6.8Company valuation6.9Sensitivity analysis6.10Practical exercise: cost per kilometre of a robotaxi
7.1Sensor architectures and costs7.2Make-or-buy decisions7.3Computing platforms and suppliers7.4Data and learning strategies7.5Modular versus end-to-end approaches7.6Intellectual property and patents7.7Open standards and ecosystems7.8Technology risk management7.9Technology roadmap7.10Workshop: make-or-buy analysis for perception
8.1Market segmentation8.2Competitive analysis of players8.3Barriers to entry8.4Consolidation in the sector8.5Opportunities in emerging markets8.6Chinese manufacturers and their strategy8.7Tier 1 suppliers and tech companies8.8Start-ups and funding8.9Market scenarios8.10Case study: competitive analysis of robotaxis
9.1Public perception of autonomy9.2Communicating capabilities9.3Risks of overpromising9.4Media crisis management9.5Relations with authorities9.6Community engagement9.7Ethics and responsibility9.8Labour impact of automation9.9Equity of access9.10Practical exercise: launch communication plan
10.1Civil liability for automated vehicles10.2Product Liability Directive10.3Contracts with software suppliers10.4Service level agreements10.5Insurance for autonomous fleets10.6Risk allocation10.7Data ownership10.8Landmark litigation10.9Legal trends in liability10.10Workshop: contractual responsibility matrix
11.1Phased launch strategies11.2Pilots and commercial trials11.3Market selection11.4Geographic expansion of the service11.5Operations management11.6Scaling the organisation11.7Partnerships with cities11.8Scaling indicators11.9Lessons from deployments11.10Case study: expansion plan to new cities
12.1Market and opportunity analysis12.2Product definition12.3Regulatory analysis by market12.4Safety strategy12.5Business model12.6Economic and financial analysis12.7Launch plan12.8Conclusions and future work12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, making it compatible with full-time work.
Each module combines theory, guided reading of the original standards and applied exercises. The working software is Microsoft Excel, Power BI, Jira Product Discovery, Miro and Python, in free, academic or evaluation versions. Work is based on real procedures for market and competitive analysis, economic models of autonomous services and regulatory maps by market. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: Regulation (EU) 2019/2144 (General Safety), Implementing Regulation (EU) 2022/1426 (ADS), UN ECE R157, ISO 26262, ISO 21448, ISO/SAE 21434, Directive (EU) 2024/2853 (liability for defective products), SAE J3016.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- An internet connection and a computer capable of running the programme's software.
- English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with Microsoft Excel, Power BI, Jira Product Discovery, Miro and Python, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the programme's software and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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